Resources
Textbooks
Our textbooks are available for free through O’Reilly Media. You’ll need to create an account through the University to access the library. You are welcome to purchase paperback versions if you prefer. (Note: We will not be using any of these texts from cover to cover.)
- [PDA] Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython, 3rd ed. McKinney. O’Reilly Media 2022 / ISBN: 978-1-4919-5766-0 https://learning.oreilly.com/library/view/python-for-data/9781098104023/
- [PN] Python in a Nutshell: A Desktop Quick Reference, 4th ed. Martelli, Ravenscroft, et al. O’Reilly Media 2023 / ISBN: 978-1-098-11355-1 https://learning.oreilly.com/library/view/python-in-a/9781098113544/
- [SQL] Learning MySQL and MariaDB. RDyer,Russell O’Reilly Media 2015 / ISBN: 978-1-449362898 [(https://learning.oreilly.com/library/view/learning-mysql-and/9781449362898/)] (https://learning.oreilly.com/library/view/learning-mysql-and/9781449362898/)
- [MO] MongoDB: The Definitive Guide, 3rd Edition. Shannon Bradshaw, Eoin Brazil, Kristina Chodorow O’Reilly Media 2019 / ISBN: 9781491954454 (https://learning.oreilly.com/library/view/mongodb-the-definitive/9781491954454/)
Harvard Coursepack
We will have one required case study as a part of this class which will have a cost (~$5.00). You can register and download your case here
- [WAR] Data Science at the Warriors. Bojinov & Parzen, Harvard Busniess publishing [(https://hbsp.harvard.edu/import/1135617]) https://hbsp.harvard.edu/import/1135617)
Online Resources
- GitHub: If you do not already have an account with GitHub, create one. Bonus! Sign up for the GitHub Student Developer Pack
- Google Colab: If you do not already have a free Google or Gmail account, create one.
Python Support Hours
Python Support Hours are an optional resource for students to attend for help in addition to professor or TA office hours. We will loosely follow the DS1002 course with each session focusing on some key concept(s) covered in the last two weeks. The format may change week to week, but the goal is to help students get more comfortable with the topics they’re learning and offer support where needed. They will be focused on general topics rather than assignments, so students should still utilize professors and TAs for assignment specific questions.
- Location: Dell 1 (Open Space)
- Date/Time: 4:30-5:30pm bi-weekly Aug 30, Sep 13, Sep 27, Oct 11, Oct 25, Nov 8, Nov 29.
- Contact: Ali Rivera ali.rivera@virginia.edu
Reference Materials
- [Git / GitHub Reference Cheatsheet]
- Jupyter Notebook Cheatsheet
- Pandas Cheatsheet
- NumPy Cheatsheet